@qizhengz_alex Great work pushing the frontier of automated research, especially in long-horizon settings. It'll be interesting to compare to our recent work AgentDiscover (https://t.co/0zxJUt81VD) which also accounts tokens and the "resetting" of the agents. Congrats 🎉
@diffusion_llms@COLM_conf@ssahoo_@zhihanyang_ Looking forward to it! Please check out our work on RL for diffusion language models (https://t.co/RJKQEjL2ji) which is being presented in Non-AR LM workshop at COLM2026 on Oct 9 (8:30 AM). This work is appearing in NeurIPS 2026 as well.
Thrilled to see our work out! We present a principled and efficient RL algorithm for Diffusion LLMs, with strong results on diverse reasoning benchmarks.
Thanks to all collaborators!
1/n New paper🗞️:
🚀 How do you do RL post-training for diffusion LLMs the right way?
Introducing EGSPO & EGSPO-SA — a principled RL framework for diffusion language models that achieves SOTA on coding & logical reasoning benchmarks 📷
w/ @sampleparticle,Mahdi Farahbakhsh, @DileepKalathil@krishna75095599, and Jean-Francois Chamberland.
📜 Paper: https://t.co/Z0HqvyKkrN
👩💻 Code: https://t.co/9fhdTIgftK
🤗 Models: https://t.co/TWCzT9otS8